Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Speed up the transfer of offline data or remote storage to the cloud seamlessly. Migrate vast amounts of data, reaching petabytes, to the cloud with no restrictions on storage capacity or computing resources. Enhance application performance in challenging edge environments that lack connectivity and handle computational tasks even with limited access to networks. Safeguard your data while it is being transferred using Snowball's durable design, built-in logistics, and secure, tamper-evident packaging, ensuring efficient delivery to the intended destination. Within the AWS Snowball console, choose your desired device, which could be either the AWS Snowball Edge Compute Optimized or the AWS Snowball Edge Storage Optimized. Initiate a job linked to an Amazon S3 bucket, opt for Amazon Simple Notification Service (Amazon SNS) to monitor progress, and set up configurations such as Amazon EC2 AMIs. AWS will then prepare and dispatch the selected device to your location. Upon receipt, power on the device and utilize AWS OpsHub to unlock it for use. Connect the device to your local area network, and leverage AWS OpsHub to manage it, facilitate data transfers, or launch EC2 instances as needed. This streamlined process ensures that your data migration is not only efficient but also secure and straightforward.
Description
Amazon EC2 G4 instances are specifically designed to enhance the performance of machine learning inference and applications that require high graphics capabilities. Users can select between NVIDIA T4 GPUs (G4dn) and AMD Radeon Pro V520 GPUs (G4ad) according to their requirements. The G4dn instances combine NVIDIA T4 GPUs with bespoke Intel Cascade Lake CPUs, ensuring an optimal mix of computational power, memory, and networking bandwidth. These instances are well-suited for tasks such as deploying machine learning models, video transcoding, game streaming, and rendering graphics. On the other hand, G4ad instances, equipped with AMD Radeon Pro V520 GPUs and 2nd-generation AMD EPYC processors, offer a budget-friendly option for handling graphics-intensive workloads. Both instance types utilize Amazon Elastic Inference, which permits users to add economical GPU-powered inference acceleration to Amazon EC2, thereby lowering costs associated with deep learning inference. They come in a range of sizes tailored to meet diverse performance demands and seamlessly integrate with various AWS services, including Amazon SageMaker, Amazon ECS, and Amazon EKS. Additionally, this versatility makes G4 instances an attractive choice for organizations looking to leverage cloud-based machine learning and graphics processing capabilities.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Amazon EC2
Yes
Amazon Web Services (AWS)
Yes
AMD Radeon ProRender
No
AWS Hybrid Cloud
Yes
AWS Marketplace
Yes
Amazon EKS
No
Amazon Elastic Inference
No
Amazon SageMaker
No
Amazon Simple Notification Service (SNS)
Yes
CUDA
No
Integrations
Amazon EC2
Yes
Amazon Web Services (AWS)
Yes
AMD Radeon ProRender
Yes
AWS Hybrid Cloud
No
AWS Marketplace
No
Amazon EKS
Yes
Amazon Elastic Inference
Yes
Amazon SageMaker
Yes
Amazon Simple Notification Service (SNS)
No
CUDA
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/snow/
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/ec2/instance-types/g4/
Product Features
Product Features
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No